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These insect-inspired robots don't need GPS for orientation

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The 'Brains on Board' project is a collaboration between several British universities that partners with the HBP and seeks to ‘translate’ the brains of ants and bees into algorithms that a machine will understand. Its aim is to create equally efficient robots that can be used for rescue, space exploration and terrain analysis.

Sergio Ferrer | | April 03 2019 08:00

<p>BeeBot. / Joe Palmer, AMRC, University of Sheffield</p>

BeeBot. / Joe Palmer, AMRC, University of Sheffield

Insects are not stupid. If they were, species such as bees and ants would not be able to orient themselves precisely, learn, make decisions or organize such complex societies. That is why their tiny but efficient brains have attracted the attention of researchers interested in robotics, who see in them a perfect model for developing new machines and algorithms. This is the case of the Brains on Board project, associated with the Human Brain Project.

The project has already successfully tested robots inspired by ants and bees and plans to do the same with other insects. But how can we translate something as complex as a brain, however small, into algorithms that move a machine? “The bridge between the biological and the artificial is mathematics,” Paul Graham, a researcher at the University of Sussex (UK) and a member of the Brains on Board team, has explained to Sinc.

The million neurons of bees allows these insects to orient themselves for miles in a three-dimensional space and return to their hives

The attractiveness of this type of brain lies in its efficiency. “The interesting thing about the brain of bees is that despite being small, with a million neurons, it enables flexible and robust behaviours,” says Graham. “Their performance is far above that of today's artificial systems, so we think they are a good inspiration for biomimetics.”

The million neurons of bees may seem irrelevant compared to the billions that human brains have, but they allow these insects to orient themselves for miles in a three-dimensional space and return to their hives. They can also optimize their routes, perform multitasking, and quickly adapt to new scenarios and learn from them.

Bee Bot, simple and efficient

To develop such robots, computational biologists and neuroscientists have to create models that capture the essential details of the living organism. Our understanding of how brain and behaviour relate is “much more advanced” in insects than in mammals, but that does not mean the ‘translation’ is simple.

“The key is to simplify with an adequate level of detail that maintains the fundamental components of the original,” claims Graham. “For example, we can use general models of neurons or that represent groups of these cells, rather than dealing with the morphology and complexity of each individual neuron.”

The project’s intention is to create small machines, with simple sensors, so that they can operate for hours without the battery being a problem

The result of this “simplification” are algorithms, albeit digestible by a machine. Bees can learn and navigate complex terrain while analysing the distribution of their resources and making optimal decisions about where and when to look for food. A bee robot should be no less than that.

“We're looking for simple robots that can work in environments where GPS doesn't work,” explains Graham. The project’s intention is to create small machines, with simple sensors that don't require much computing effort, so that they can operate “for hours” without the battery being a problem. As efficient and flexible “as a bee looking for food.”

The researcher lists the situations in which such a machine would be useful. For example, in search and rescue tasks in a catastrophic area,  space exploration or monitoring in mines and agricultural fields.

Ants and dragonflies

Graham says other species could be used as inspiration to make robots with different specializations. “Insects have a similar brain organization,” he comments. In fact, Brains on Board researchers have already made automatons inspired by ants, “which are related to bees and have similar brains.”

Dragonflies could result in robots capable of carrying out extremely precise aerial manoeuvres

“The differences [in brains] depend on the ecological needs of the insect. Organs and algorithms would be similar, but tuned for different behaviours,” says the neuroethologist. Graham gives as an example the case of dragonflies, which could result in robots capable of carrying out “extremely precise” aerial manoeuvres. In fact, he says Brains on Board plans to collaborate with other groups in Australia to model the brains of other insects.

This type of work also represents a reciprocal exchange between areas. According to Graham and colleagues, the combined study of brains and algorithms “not only benefits robotics, but also biology. In this sense, mathematics can help to better understand how an organism works.”

The 'Brains on Board' project is the result of the collaboration of several teams from the universities of Sheffield, Sussex and Queen Mary and is funded by the Engineering and Physical Sciences Research Council (all of them in the United Kingdom). They also cooperate with HBP, as the technology developed “is scalable, accessible and of great interest to many of their teams.”

The Sinc agency participates in the SCOPE European project coordinated by FECYT and financed by the European Union through Horizon 2020. The objectives of SCOPE are to communicate visionary research results from projects associated with the Graphene Flagship and the Human Brain Project, as well as to promote and strengthen relations within the scientific community of the Future and Emerging Technologies Emblematic Research Initiatives (FET Flagships) in the EU.

Geographical area: España
Source: SINC



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